Data Wrangling with Pandas

[LeeAndro]

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Difficulty: Intermediate | Genre: eLearning | Language: English | Duration: 8 Lectures (1h 7m) | Size: 1.1 GB

In this course, we are going to explore techniques to pe advanced data exploration and analysis using Python.

We will focus on the Pandas library, focusing on real-life case scenarios to help you to better understand how data can be processed using Pandas.

In particular, we will explore the concept of tidy datasets, the concept of multi-index, and its impact on real datasets, and the concept of concatenating and meg different Pandas objects, with a focus on DataFrames. We'll look at how to transform a DataFrame, and how to plot results with Pandas.

Learn what a tidy dataset is and how to tidy data

Merge and concatenate tidy data

Learn about multi-level indexing and how to use it

Transform datasets using advanced data reshape operations with Pandas

Plot results with Pandas

This course is intended for data scientists, data eeers, or anyone looking to perform data exploration and analysis with Pandas.

To get the most out of this course, you should have some knowledge of Python and the Pandas library. If you want to brush up on Pandas, we recommend taking our Working with Pandas course.

The GitHub repo for this course can be found
.



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